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Schandkroete
/
DBertSLC

Text Classification
Transformers
Safetensors
distilbert
Model card Files Files and versions
xet
Community

Instructions to use Schandkroete/DBertSLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Schandkroete/DBertSLC with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Schandkroete/DBertSLC")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Schandkroete/DBertSLC")
    model = AutoModelForSequenceClassification.from_pretrained("Schandkroete/DBertSLC")
  • Notebooks
  • Google Colab
  • Kaggle
DBertSLC
268 MB
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  • 1 contributor
History: 3 commits
Schandkroete's picture
Schandkroete
Upload 2 files
d506a99 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    55 Bytes
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  • config.json
    615 Bytes
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  • model.safetensors
    268 MB
    xet
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